使用COCOSO算法和修改的Sugeno Weber聚合运算符对体育课堂设计的评估
Qiaoli Wei1,2, Junwei Yao3, Weitao Zheng4
1Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, 430079, Hubei, China.
Scientific reports
|September 1, 2025
概括
设计有效的体育课堂对于学生的参与至关重要. 这项研究引入了一种新的多标准决策方法,使用模糊集和分析层次流程来优化课堂设计,确定"户外空间的整合"是最好的选择.
科学领域:
- 教育技术
- 决策科学
- 应用数学
背景情况:
- 身体教育和传统体育对整体发展越来越重要,
- 设计精良的空间可以促进学生参与课程和课外活动,并支持多样化的教学方法.
研究的目的:
- 为设计体育课堂环境提出一种新的多标准决策 (MCDM) 方法.
- 开发基于分析层次过程 (AHP) 的新聚合运算符 (AOs) 和使用Sugeno-Weber t-规范和t-规范的q-rung orthopair模糊集 (q-ROFS).
- 提出一个改进的组合妥协解决方案 (CCS) 方法来排名替代方案.
主要方法:
- 分析层次流程 (AHP) 应用于多标准决策 (MCDM).
- 利用q-rung orthopair模糊集 (q-ROFS) 框架来扩展模糊集的功能.
- q-rung整形模糊Sugeno-Weber加权平均 (q-ROFSWWA) 和几何 (q-ROFSWWG) 运算符的开发.
- 实施一个改进的综合妥协解决方案 (CCS) 方法来准确排名.
主要成果:
- 提出的MCDM方法成功评估和排名了体育课堂设计的替代方案.
- 根据AHP和q-ROFS信息开发的q-ROFSWWA和COCOSO算法被应用到实际例子中.
- 这项研究确定了"户外空间的整合"作为体育课堂的最佳设计.
结论:
- 新的MCDM方法,整合了AHP,q-ROFS和Sugeno-Weber运营商,为设计体育环境提供了有效的框架.
- 开发的方法为复杂的设计场景提供了可靠的决策工具.
- 进行比较分析证实了拟议方法的真实性和有效性.
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